This course introduces students to basic statistical concepts and techniques needed for collecting, analyzing, and interpreting quantitative information required for making sound business decisions. The overall theme of the course is looking at information in order to solve business problems intelligently. Emphasis in the course is neither on algebraic derivations nor on the memorization of mathematical formulas, but on using graphical and numerical methods to convey information on business processes. This information can be critically important for making business decisions in a competitive marketplace. No previous knowledge of statistics is required for this course.
Jing Cao is an Associate Professor in the Department of Statistical Science at Southern Methodist University. She joined SMU in 2005 after she received her Ph.D. degree in Statistics from University of Missouri at Columbia. She has been conducting research in statistical sciences for more than 10 years. She is currently the Principal Investigator on a NIH (National Institutes of Health) grant and she also serves as a regular panel reviewer for NIH. She has been teaching STAT 2301 and other statistics courses at SMU since 2005.
After this course, students should be able to:
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